rileyedmunds / complexcnn
research on convolutional neural networks in fourier space
☆15Updated 8 years ago
Alternatives and similar repositories for complexcnn:
Users that are interested in complexcnn are comparing it to the libraries listed below
- CUDA extension for the SPORCO project☆18Updated 3 years ago
- Random Mesh Projectors for Inverse Problems☆24Updated 4 years ago
- Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"☆10Updated 5 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago
- Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…☆17Updated 8 years ago
- A module for making weights initialization easier in pytorch.☆17Updated 7 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 5 years ago
- ☆15Updated 7 years ago
- This repo contains the code for our AAAI-Workshop paper "Learning disentangled representations from 12-lead electrograms: application in …☆11Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- A conda-smithy repository for python-spams.☆23Updated 6 months ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement☆15Updated 7 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Enhancing Compressive Sensing with Neural Networks☆37Updated 8 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- ☆25Updated 2 years ago
- supervised deep sparse coding networks☆31Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Keras implementation of Global Context Attention blocks☆46Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Deep learning of an embedding mapping using t-SNE as a loss function on top of a 3-hidden-layer neural network. Use pytorch !☆20Updated 7 years ago
- Deep Learning using Rectified Linear Units (ReLU)☆22Updated 9 months ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 5 years ago
- Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)☆11Updated 2 years ago
- Collection of notebooks exploring conv nets in detail.☆10Updated 7 years ago
- ☆29Updated 3 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 7 years ago
- MINE estimation implemented with Tensorflow 2☆11Updated 5 years ago